PART1: ANALYSIS ON TABLE 1

Region wise analysis to find the most and least performing regions

On applying the remove_null function, there are still null values that remain. This is because the given attribute has all null values for the country. Hence we cannot find the mean.

More than 90% null values are removed

df1 has no null values

The bar_func inputs the attribute names. Calculates the attribute mean for all regional indicators and presents it as a bar graph.

We plot four bar plots to study the regions. Steady increase in all bar graph oberved.
1.Social Support:

2.Health Life Expectancy:

  1. Freedom of life choices:
  1. Generosity:

Southeast Asia, North America and ANZ dedicate their time and money to add value to the needfull people.

  1. Perception of Corruption:

According to the bar plots above Sub Saharan Africa underperforms. We analyze the region and infer. Most countries lie in the region 7.5 to 8.5

Hex bin plot

Most dense at 8 and life expectancy 55. Amount of spread analyzed

Part 3 - testing table 1

MACHINE LEARNING

SVM

SVC-Model

GANTI SAI SURYA ASHWIN - BL.EN.U4CSE19043
K CHAITANYA VADIRAJ - BL.EN.U4CSE19058
KISHAN MANIYAR - BL.EN.U4CSE19065